GSWIFT GSWIFT / FTT Crypto vs ZIG ZIG / FTT Crypto

Stats Comprehensive Analytics for the Selected Time Period

Detailed statistical analysis including performance metrics, risk indicators, technical analysis, and advanced ratios.

Settings

🤖 AI Analysis

Ask me anything about the statistics below. I can help explain metrics, identify patterns, or answer specific questions.
Asset GSWIFT / FTTZIG / FTT
📈 Performance Metrics
Start Price 0.040.13
End Price 0.000.08
Price Change % -94.75%-32.75%
Period High 0.050.14
Period Low 0.000.08
Price Range % 1,956.7%72.0%
🏆 All-Time Records
All-Time High 0.050.14
Days Since ATH 308 days43 days
Distance From ATH % -95.1%-37.9%
All-Time Low 0.000.08
Distance From ATL % +0.0%+6.9%
New ATHs Hit 3 times2 times
📌 Easy-to-Understand Stats
Avg Daily Change % 5.42%5.12%
Biggest Jump (1 Day) % +0.01+0.02
Biggest Drop (1 Day) % -0.01-0.03
Days Above Avg % 36.2%39.7%
Extreme Moves days 19 (6.1%)6 (8.3%)
Stability Score % 0.0%0.0%
Trend Strength % 54.8%51.4%
Recent Momentum (10-day) % -37.92%+3.58%
📊 Statistical Measures
Average Price 0.010.11
Median Price 0.010.10
Price Std Deviation 0.010.01
🚀 Returns & Growth
CAGR % -96.75%-86.62%
Annualized Return % -96.75%-86.62%
Total Return % -94.75%-32.75%
⚠️ Risk & Volatility
Daily Volatility % 7.84%7.77%
Annualized Volatility % 149.76%148.37%
Max Drawdown % -95.14%-37.85%
Sharpe Ratio -0.079-0.031
Sortino Ratio -0.080-0.030
Calmar Ratio -1.017-2.288
Ulcer Index 72.6623.48
📅 Daily Performance
Win Rate % 45.2%48.6%
Positive Days 14235
Negative Days 17237
Best Day % +36.82%+20.35%
Worst Day % -40.07%-29.07%
Avg Gain (Up Days) % +5.18%+5.05%
Avg Loss (Down Days) % -5.41%-5.24%
Profit Factor 0.790.91
🔥 Streaks & Patterns
Longest Win Streak days 54
Longest Loss Streak days 105
💹 Trading Metrics
Omega Ratio 0.7910.912
Expectancy % -0.62%-0.24%
Kelly Criterion % 0.00%0.00%
📅 Weekly Performance
Best Week % +23.49%+22.16%
Worst Week % -29.39%-20.15%
Weekly Win Rate % 41.7%41.7%
📆 Monthly Performance
Best Month % +13.92%+7.24%
Worst Month % -61.19%-10.08%
Monthly Win Rate % 33.3%25.0%
🔧 Technical Indicators
RSI (14-period) 13.5445.35
Price vs 50-Day MA % -62.39%-16.78%
Price vs 200-Day MA % -75.79%N/A
💰 Volume Analysis
Avg Volume 9,127,6591,742,383
Total Volume 2,875,212,718127,193,971

Performance Metrics: Shows the price at the start and end of the period, total change, and the highest/lowest prices reached during this time frame. | All-Time Records: All-time records show the highest and lowest prices ever reached during this period, how far the current price is from those extremes, and how long ago they occurred. | Easy-to-Understand Stats: Easy-to-understand metrics including typical daily price movements, biggest single-day gains/losses, how often price stayed above average, stability measures, and short-term momentum trends. | Returns & Growth: CAGR (Compound Annual Growth Rate) shows the annualized return rate if this growth continued consistently, while annualized and total returns show performance scaled to different time periods. | Risk & Volatility: Risk metrics show price volatility (daily and annualized), maximum drawdown (worst peak-to-trough decline), and various ratios (Sharpe, Sortino, Calmar, Treynor, Information) that measure risk-adjusted returns. | Daily Performance: Daily performance shows positive vs negative days, win rate, best and worst single days, average gains/losses on up/down days, gain/loss ratio, and profit factor (total gains divided by total losses). | Trading Metrics: Trading metrics include Omega ratio (probability-weighted gains vs losses), payoff ratio (avg win/avg loss), expectancy (expected return per trade), Kelly Criterion (optimal position sizing %), and price efficiency (trending vs choppy).

📊 Asset Correlations

Correlation coefficient ranges from -1 (perfectly inverse) to +1 (perfectly correlated).

GSWIFT (GSWIFT) vs ZIG (ZIG): 0.603 (Moderate positive)

Correlation shows how closely asset prices move together: +1.0 means perfect positive correlation (move in sync), 0 means no relationship, -1.0 means perfect negative correlation (move opposite). Lower correlation can help with portfolio diversification.

Data sources

GSWIFT: Bybit
ZIG: Kraken
ByBit Futures Trading Trade hundreds of crypto perpetual futures